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Tags: Data pipelines and messaging
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1–24 of 76 · Most stars

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

  • batch-processing
  • kafka
  • pathway
  • python

Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.

  • database
  • distributed-database
  • distributed-sql-database
  • sql

The most scalable and reliable MQTT broker for AI, IoT, IIoT and connected vehicles

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

  • dbt-viewpoint
  • slack
  • pypa
  • data-modeling

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  • kedro
  • hacktoberfest
  • mlops
  • python

Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!

  • mqtt
  • m2m
  • scalable
  • broker

Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.

In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.

  • scala
  • sqs-interface
  • elasticmq
  • amazon-sqs